Featured projects
AI Resume Analyzer, StepUp AI Learn, Arkode Labs, Nusantara Language Academy, and Odentic.
Yogi Builds
Hello! I'm
Yogi Khairul Umam
AI Engineer and Web Developer building practical products with machine learning, testing, and human-centered AI workflows.
I turn AI learning, product thinking, and engineering practice into usable software: resume analyzers, learning planners, educational platforms, and business websites designed to solve real user problems.
Profile
Yogi Khairul Umam
Role
AI Engineer
Recent Capabilities
Portfolio Signal
Python
FastAPI
React
TypeScript
Prompt Design
Cloud Basics
- AI product prototypingStrong
- Frontend deliveryStrong
- Testing mindsetVerified
Learning ecosystems
Dicoding, Coding Camp DBS, Microsoft Elevate, and AWS AI Academy shape my current engineering path.
Portfolio goal
Show clear problem solving, implementation process, measurable impact, and technical growth.
About
Professional summary with product and engineering focus.
Technology enthusiast with strong interest in Artificial Intelligence, Machine Learning, Web Development, Cloud Engineering, and Data Science. My work focuses on transforming technical learning into interfaces and workflows that help users make better decisions.
Through Dicoding Academy, Microsoft Elevate Training Center, Coding Camp 2026 powered by DBS Foundation, and AWS AI Academy 2026, I have developed practical experience in AI-based web solutions, prompt engineering, data processing, database design, and system usability testing.
Skills & Tools
Tools I use to design, ship, and validate product ideas.
Featured Projects
Projects with problem framing, process, and insight.
Each project highlights what was built, how the work was approached, and what product or technical insight came out of the process.
Dashboard Showcase
Mock analytics panel styled as a quick recruiter scan.
This section acts as a visual substitute for unavailable project screenshots while still showing the kind of dashboard and insight surfaces I like building.
StepUp Dashboard
Core View
AI planning and weekly progress view
Adaptive weekly scheduling
Accepted AI suggestions become visible, schedulable tasks rather than hidden backend output.
Recommendation rationale
Explainable rationale and review flow make AI planning feel much safer for real users.
Metrics and validation surface
Testing, token tracking, and metrics made the capstone more presentation-ready and easier to trust.
Experience & Education
Recent learning and building timeline.
Certifications
Relevant learning milestones and supporting topics.
Certifications reinforce my interest in AI fundamentals, Python, project management, data visualization, and generative AI usage.